Detection of Abnormality in Electrocardiogram (ECG) Signals Based on Katz’s and Higuchi’s Method Under Fractal Dimensions
Author(s) -
Md. Mashiur Rahman
Publication year - 2016
Publication title -
computational biology and bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 2330-8281
pISSN - 2330-8265
DOI - 10.11648/j.cbb.20160404.11
Subject(s) - abnormality , pattern recognition (psychology) , fractal , qrs complex , fractal dimension , artificial intelligence , computer science , process (computing) , feature extraction , electrocardiography , signal (programming language) , rr interval , feature (linguistics) , interval (graph theory) , cardiology , medicine , mathematics , heart rate variability , heart rate , mathematical analysis , psychiatry , linguistics , philosophy , combinatorics , blood pressure , programming language , operating system
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